Nebius Group
Nebius Group
1001 – 5000 Zaposleni
PodjetjeSaaSUmetna inteligenca
Nebius Group razvija infrastrukturo za umetno inteligenco za organizacije, ki gradijo in izvajajo zahtevne delovne obremenitve umetne inteligence. Njena osrednja ponudba je platforma v oblaku, osredotočena na umetno inteligenco, ki združuje računske zmogljivosti, shranjevanje in orodja za razvijalce, širši portfelj podjetja pa zajema generativno umetno inteligenco, izobraževalne tehnologije in avtonomne tehnologije. Podjetje ima sedež v Evropi in kotira na borzi Nasdaq. Posluje mednarodno ter ima raziskovalne in razvojne centre po Evropi, Severni Ameriki in Izraelu, s čimer ustvarja priložnosti za ekipe, ki delajo na področju računalništva v oblaku, poslovne programske opreme in inženiringa umetne inteligence.

Partner Solutions Architect

Connect Nebius’s AI cloud with strategic technology partners through production-ready integrations. Equip partner teams and help shape the product roadmap with insights from customers and the field.

Opis

  • Act as Nebius’s technical contact for partners across data platforms, MLOps, AI frameworks, and independent software vendors.
  • Manage partner technical relationships and coordinate with Nebius engineering and product teams.
  • Architect integrations that create meaningful value for shared customers.
  • Develop and maintain reference implementations and production-ready integrations.
  • Establish enterprise integration patterns for networking, security, compliance, and observability.
  • Turn partner and customer input into clear product and roadmap needs.
  • Support partner teams with technical documentation, training, and demonstration environments.
  • Lead technical work in customer deployments, architecture reviews, and complex troubleshooting.
  • Contribute to Nebius’s product direction and strengthen technical collaboration across partner ecosystems.

Zahteve

  • Bring 5–10 or more years of experience in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies.
  • Hold a bachelor’s degree or equivalent foreign qualification in a related field, or have an equivalent combination of education and relevant experience.
  • Have deep expertise in cloud infrastructure.
  • Bring specialist experience with large-scale Kubernetes deployments and containerized environments.
  • Have strong practical experience with Infrastructure as Code, particularly Terraform.
  • Have deployed production AI workloads, especially inference, and designed or implemented agent-based solutions.
  • Have a proven background in integration architecture, including API design, data pipelines, security, and observability.
  • Have experience with Python.
  • Communicate effectively with both technical and non-technical audiences.
  • Be authorized to work in the country of application and able to provide proof of employment eligibility.
  • Additional advantage: experience with high-performance computing environments and large GPU clusters.
  • Additional advantage: hands-on experience across the machine learning lifecycle, including training, fine-tuning, and retrieval-augmented generation.
  • Additional advantage: practical experience building AI agents, particularly with LangChain.
  • Additional advantage: experience with partner technical programs, major cloud or data platforms, or enterprise compliance standards.
  • Additional advantage: deep knowledge of advanced Kubernetes infrastructure beyond managed Kubernetes services.

Ugodnosti

  • The company covers the full cost of medical, dental, and vision plans for employees and their families.
  • 401(k) plan with a company match of up to 4%, vested immediately.
  • Paid parental leave of 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
  • Remote work reimbursement of up to $85 per month for mobile and internet expenses.
  • Company-paid short-term disability, long-term disability, and life insurance.
  • Competitive compensation.
  • Opportunities for career development and learning.
  • Flexibility and ownership in the work.
  • A collaborative, innovative culture.
  • The chance to contribute to impactful AI projects.
  • An international workplace with talented teams.

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